Your Best Employees Are Planning to Leave Right Now — Here's How to Know Before They Do

The worst kind of attrition is not the employee you saw coming. It is the one you did not.

The disengaged employee who has been coasting for months — that departure is survivable. You have been managing around them for a while.

The employee who leaves quietly — high performer, consistently hitting targets, well-regarded by the team, no visible warning signs — that departure is expensive. And it almost always comes as a shock.

It should not. Because the data signature of that departure was present weeks before the resignation letter arrived.

What the Data Shows Before the Resignation

Attrition rarely happens overnight. It follows a pattern — a gradual withdrawal that shows up in the data before it shows up in the exit interview.

Engagement survey scores drop. Not dramatically. A point or two. Enough to notice if you are looking at individual-level trends rather than team averages.

Discretionary effort decreases. Meetings that used to include proactive contributions become passive. Projects that used to be delivered early start arriving on time or slightly late.

These patterns are visible in your data right now. Attendance records, survey responses, performance metrics, system activity — all of it contains the signal. The question is whether anyone is looking at it continuously, at the individual level, or only reviewing aggregated team averages once a quarter.

The Cost of Getting It Wrong

The fully-loaded cost of replacing an employee is typically 50 to 200 percent of their annual salary, depending on the role and the scarcity of the skill set.

For a team of 200 people with an annual salary average of $60,000 and an attrition rate of 15 percent — that is 30 departures per year. At a conservative replacement cost of 75 percent of salary, that is $1.35 million annually.

The Attrition Prediction Dashboard calculates this number for your organisation — by department, by risk level, by financial exposure. Not as an estimate. As a live, current calculation based on your actual workforce data.

What 90-Day Prediction Actually Looks Like

The dashboard identifies the employees most likely to leave in the next 90 days — by name, by department, by risk score, by the specific risk factors driving their score.

It is not a list of people who are performing badly. It is a list of people whose data pattern matches the pre-departure signature — regardless of their current performance rating.

Some of your highest-risk employees are your best performers. They are highest risk precisely because they are the most attractive to your competitors.

The Board Narrative That Funds the Retention Investment

When you take a retention programme to the board, the argument has to be financial. "We need to invest in retention" is not a board-level case. "We have 48 employees at high flight risk representing $6.8 million in replacement exposure, and a $400,000 retention investment has an expected ROI of 17x" is a board-level case.

The Attrition Prediction Dashboard builds that case automatically. The ARCTIC framework board narrative generator produces the document in one click — structured, quantified and ready for the boardroom.

Try the Attrition Prediction Dashboard — Free 14-Day Demo →